Spread for WPF Overview
Key Features
Getting Started
Quick Start
Designer
Features
- Workbook
- Worksheet
- Column
- Row
- Headers
- Cells
- Cell Types
- Data Binding
- Data Validation
- Conditional Formatting
- Drag and Drop
- Copy and Paste
- Group
- Zoom
- Undo/Redo
- Search Data
- Scroll
- Sort
- Filter
- Table
- Charts
  - Chart Elements
    - Chart Title
    - Chart Area
    - Plot Area
    - Axes
    - Walls
    - Data Series
    - Trendline
    - Chart Lines
    - Up-Down Bar
    - Error Bar
    - Data Table
    - Data Label
    - Legend
    - 3-D Rotation
  - Chart Types
  - Chart Styles
- Formulas and Functions
- File Operations
- Print
Assembly Reference

Chart Elements

Charts are powerful tools for data visualization. Each chart is made up of several chart elements, which can be formatted individually to generate charts with a customized layout. Configuring chart elements in a spreadsheet not only enables users to represent information in a meaningful way but also helps them put together a clear view of comparisons and trends for advanced data visualization and analysis.

A basic chart with the primary chart elements is shown in the image below.

The following topics explain the various chart elements and their formatting options:

Chart Elements	Descriptions
Chart Title	Represents a the title of the chart.
Chart Area	Represents the entire chart control area.
Plot Area	Represents the graphics area used to draw the chart trends.
Axes	Represents the ruler used to draw the chart trends.
Data Series	Represents the data trends for one group of data values.
Trendline	Represents a straight or curved line that is added on the chart to show the trends.
Error Bar	Represents the error or uncertainty of data on charts.
Lines	Represents the High-Low and Drop lines on charts.
Up-Down Bars	Represents up-down bars used in line charts.
Data Table	Represents a grid that displays the source data of the chart
Data Lable	Represents the relevant information on the chart.
Legend	Represents the identifiers for each of the series of the data.